Beginners Guide to Trading Crypto & Memecoins in 2026 (Free Course)

Market context & performance claims

• The speaker claims they made “about six figures” in profit in the first month of 2026 trading crypto meme coins.
• They describe their approach as using new wallets, not:
  • copy trading
  • live-stream hype
  • “bundling/rugging”
• They assert their win rate is losing (more losses than wins), arguing the strategy depends on rare large winners (“runners”) outweighing many smaller/medium losses.
• They claim the odds are extremely unfavorable: ~99.6% of wallets are not profitable.

Instruments, assets, and identifiers mentioned

Coins / coin examples (names treated as identifiers)

• SOL (Solana) — used for examples of portfolio sizing and “global fees paid in SOL.”
• Meme coin examples / identifiers:
  • olive oil
  • copper inu (peak stated as over $20M market cap)
  • Derp
  • VVM
  • Gas Town
  • puppy
  • Baron coin
  • Ralph (referenced as “17x on Ralph”)
  • “Cloud Code AI” (linked to the VVM narrative)

Macro / trend context

• Gold / silver / metals — mentioned broadly; the speaker claims “metals are nuking.”
• Copper — referenced as a commodity trend that can be translated into meme narratives.

Social / attention signal sources

• Twitter/X
• TikTok
• Google search

Crypto market mechanics referenced

• MEV
• bundles / “insider bundles”
• copy traders
• exit liquidity
• priority / slippage

Key numbers and thresholds explicitly stated

Axiom Pro terminal setup filters

New pairs

• $11,000 minimum market cap
• 0.1 global fees paid

Middle filter

• $8,000 minimum market cap
• 0.5 fees paid

Migrated filter

• $10,000 minimum market cap
• 3.5 global fees paid in SOL

Trading / execution parameters

• Slippage: 30–40
• Quick buy: default set to 3 (as stated)
• MEV mode: off
  • The speaker claims MEVs “aren’t really a thing anymore,” with only small risk of being sandwiched.

Narrative examples / performance claims

Example outcomes

• Olive oil
  • Claim: turning $500 into $20,000+ (also referenced as “over 21,000” earlier).
• Copper Inu
  • Peak: over $20M market cap
• Ralph
  • Performance reference: “17x on Ralph”

Puppy / attention-stat narrative

• TikTok activity referenced: 22.9 million posts for #puppy.
• Additional narrative boosters mentioned:
  • “penguin” reportedly hit over $100M market cap
  • “White House is talking about it”
  • claims of Binance / T1 listings
  • “Mark Andresen shilling it” (framed as narrative/trend context rather than quantified)

Entry / flush example

• Olive oil
  • Tactic: “wait for the bundle to exit.”
  • The speaker references waiting down to a later low of ~6K market cap.

Portfolio sizing examples

• Mentions a hypothetical 10 SOL portfolio.
• Mentions “max doom sentiment” style scenario logic (examples around 50k and 20k market cap), framed as examples rather than a universal rule.

Step-by-step methodology / execution framework

The speaker’s framework is a 3-part execution process:

1. Narrative

   • Read the coin’s “story” and decide if you understand it well enough to believe it can attract memetic demand.
   • Core belief: most meme coins go to zero, so the goal is extracting profit before the breakdown.
   • Look for:
     • Trends (e.g., commodity memes such as gold/silver/copper/platinum)
     • Originality (what differentiates it from prior iterations)
     • Who’s behind it (Twitter community, website, influencer/KOL presence)

2. Entry

   • Be “anal” about the entry price due to a “serial coin deployers market.”
   • Assumption: new coins often have an insider bundle (described as ~30–40% supply accumulated secretly).
   • Entry tactic:
     • Don’t buy into the spike before the bundle is worked off.
     • Prefer buying after the bundle suppresses price and the coin “proves narrative strength.”
     • If you miss the early run-up: wait for a retracement and/or broader doom sentiment, while still believing the narrative hasn’t been invalidated.

3. Sizing

   • “Don’t oversize.” Position sizing should cap how painful drawdowns are to the trader’s psychology.
   • The argument: if you risk too much, you’ll be forced into poor decisions (panic cutting) during V-reversals/drawdowns.
   • The speaker claims improving outcomes comes more from position sizing than from loss/recovery dynamics, asserting: “size always equals out.”
     • Meaning: similar P&L can be achieved with lower size if risk is matched.

Risk management claims and cautions

• No magic indicator / no trading bot
  • Edge decays; strategies must adapt.
  • Nothing guarantees wins.
• Key risks emphasized:
  • bundle / sandwich / exit liquidity dynamics
  • If buying after copy-trader-driven ramps, the deployer bundle may “nuke” the position (example described as down ~70%).
• The strategy accepts:
  • a negative win rate
  • but targets outcomes where winners outweigh losses.
• Selectivity as risk control:
  • Ignore coins whose narrative feels “un-craftable” or that lack volume/influential backing.
  • Warning: Solana can spawn 30,000+ coins per day, and analyzing everything will “burn yourself out.”

Performance path / scaling recommendation

• Recommendation for scaling in 2026 is to repeat the loop:
  • Narrative → Entry (post-bundle/retrace) → Sizing (risk-limited)
• Even with a negative win rate, confidence is framed as:
  • “winners always outweigh whatever I lost.”

Disclosures / disclaimers

• The provided transcript does not include an explicit “not financial advice” or other legal disclaimer.

Presenters / sources mentioned

Individuals (community / KOL references)

• Him Garia — tied to the copper inu narrative.
• Shams — mentioned as part of a mentorship/trading group (“consistent six-figure P&Ls”).
• Mark Andresen — referenced in TikTok-trend context.
• Dowman — referred to as a “renowned meme coin scalper” (in the puppy/hashtag context).

Crypto accounts / platforms referenced

• Mentions of Coinbase Twitter accounts (context: attention signals for olive oil, later stated “if I can recall”).

Companies / products

• Axiom Pro — trading terminal
• Phantom wallet — wallet option
• Cloud Code AI — tied to the VVM narrative
• Binance — referenced for listing context

Mentorship program name

• Fortune Inner Circle